2025 was a defining year for us at Weaviate. Instead of chasing shiny features, we focused on an overarching goal - upgrading our infrastructure and technology in order to better support AI systems.

Weaviate's blog offers insights into artificial intelligence, machine learning, and natural language processing. Readers can explore articles on topics such as deep learning, neural networks, and knowledge graph technology. Additionally, they can learn about use cases for AI applications, industry trends, and ethical considerations in AI development.

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Weaviate focused on infrastructure upgrades in 2025 to support AI systems, prioritizing dependability over new features. Key improvements include enhanced search primitives (BlockMax WAND, multi-vector search, MUVERA encoding), rotational quantization for efficiency, dynamic scalability with replica movement, and expanded security controls. Weaviate Cloud added an embedding service, data import tool, and query agent access. The Query Agent reached general availability, with Transformation and Personalization Agents in preview. Looking to 2026, the focus shifts to deepening agentic capabilities with improved reasoning, multimodal support, model evaluation tools, and shared memory for evolving agents.

Weaviate in 2025: Reliable Foundations for Agentic Systems

Weaviate Cloud: Removing Friction Without Removing Control ​

Weaviate Database: Core Improvements with Outsized Impact ​

Weaviate Agents: From Capability to Interface ​